Fine_tuned_model
This model is a fine-tuned version of facebook/opt-350m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 9.3108
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2.5e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- training_steps: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 9.3428 | 0.0230 | 5 | 9.3261 |
| 9.2891 | 0.0459 | 10 | 9.3237 |
| 9.3229 | 0.0689 | 15 | 9.3213 |
| 9.325 | 0.0918 | 20 | 9.3189 |
| 9.2929 | 0.1148 | 25 | 9.3167 |
| 9.3197 | 0.1378 | 30 | 9.3148 |
| 9.3362 | 0.1607 | 35 | 9.3131 |
| 9.3035 | 0.1837 | 40 | 9.3119 |
| 9.3198 | 0.2067 | 45 | 9.3111 |
| 9.4037 | 0.2296 | 50 | 9.3108 |
Framework versions
- Transformers 4.43.3
- Pytorch 2.4.0+cu121
- Tokenizers 0.19.1
Inference Providers
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Model tree for Hariharasudhan07/Fine_tuned_model
Base model
facebook/opt-350m